# Judicial & Industrial Auction Intelligence (`ayrtondavoli97/aste-objects-scraper`) Actor AI-powered Italian judicial & industrial auction intelligence engine. Aggregates and enriches auction lots with opportunity scoring, resale analysis, logistics risk, live bid detection and export-ready datasets for resellers, analysts and liquidation research. - **URL**: https://apify.com/ayrtondavoli97/aste-objects-scraper.md - **Developed by:** [Francesco Ayrton Davoli](https://apify.com/ayrtondavoli97) (community) - **Categories:** AI, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Judicial & Industrial Auction Intelligence AI-powered Italian judicial and industrial auction intelligence engine for Apify. Aggregate and enrich auction lots from Italian judicial, liquidation and industrial auction sources with: - opportunity scoring - resale analysis - logistics risk detection - live bid detection - normalized categories - export-ready datasets - shortlist/watchlist recommendations This actor is designed for: - resellers - liquidation traders - industrial equipment buyers - auction analysts - distressed asset researchers - dataset/API consumers --- ## Supported Sources ### Fallco Aste network Collects auction lots from multiple public Fallco network portals. ### AsteGiudiziarie.it Collects judicial auction lots using the same public search flow used by the website. ### IndustrialDiscount.it Collects industrial and liquidation lots using the site's public search API. ### Gobid Best-effort support. May currently be blocked by Cloudflare depending on runtime environment. --- ## Main Features - Multi-source aggregation - Opportunity scoring - Resale analysis - Logistics risk detection - Live bid detection - Category normalization - Export-ready datasets - Dataset views optimized for analysis - Buyer action recommendations - Confidence scoring --- ## How Presets Work The actor includes ready-made presets for common auction research workflows. ### Maximum coverage Best for broad market discovery. Uses all main working sources and fetches a large cross-category dataset. Recommended for: - market discovery - large exports - reseller sourcing - liquidation analysis --- ### Resale friendly lots Focuses on lots more likely to be useful for resale analysis. --- ### Electronics focus Best for: - computers - servers - smartphones - monitors - IT equipment - electronics --- ### Vehicles focus Best for: - cars - vans - trucks - motorcycles - trailers --- ### Stock / resale lots Best for: - inventories - warehouse goods - liquidation bundles --- ### Custom Use Custom when you want full manual control. In Custom mode, the actor respects your selected: - sources - category - regions - keywords - price filters - item limits - pagination limits Important: When a preset other than Custom is selected, the preset may override: - sources - category - max items - pagination limits --- ## Recommended Configurations ### Fast test run ```json { "preset": "custom", "category": "electronics", "maxItems": 150, "sources": [ "industrialdiscount", "astegiudiziarie", "fallco" ] } # Actor input Schema ## `preset` (type: `string`): Choose a ready-made configuration. Select Custom when you want the fields below to be used exactly as configured. ## `sources` (type: `array`): Auction platforms to scrape. Use the Maximum coverage preset for the broadest dataset. ## `startUrls` (type: `array`): Optional Fallco/Fallco Aste search, category, homepage, or listing URLs. Leave empty for automatic multi-portal, multi-category discovery. ## `keywords` (type: `array`): Optional words to match in title, description, URL, tribunal, location, or procedure. ## `category` (type: `string`): Optional category filter inferred from the lot text. ## `maxItems` (type: `integer`): Maximum number of normalized lots to save. High values can increase runtime. ## `maxPagesPerCategory` (type: `integer`): How many paginated Fallco search pages to try for each portal/category discovery URL. ## `maxDetailPages` (type: `integer`): How many Fallco lot detail pages to open for richer prices, descriptions, categories, images, and possible location cues. ## `agiRegions` (type: `array`): Optional Italian regions to query on AsteGiudiziarie.it. Leave empty for all regions. ## `maxAgiRegions` (type: `integer`): Maximum number of regions to query on AsteGiudiziarie.it when regions are left empty. ## `agiRequirePhotos` (type: `boolean`): If true, asks AsteGiudiziarie.it for records with photos only. False gives wider coverage. ## `maxIndustrialPages` (type: `integer`): How many IndustrialDiscount search result pages to fetch from the public search API. Each page can return up to 250 lots. ## `minPrice` (type: `integer`): Optional minimum base/current/effective price in EUR. ## `maxPrice` (type: `integer`): Optional maximum base/current/effective price in EUR. ## Actor input object example ```json { "preset": "maximum_coverage", "sources": [ "fallco", "astegiudiziarie", "industrialdiscount" ], "startUrls": [], "keywords": [], "category": "all", "maxItems": 1000, "maxPagesPerCategory": 3, "maxDetailPages": 100, "agiRegions": [], "maxAgiRegions": 20, "agiRequirePhotos": false, "maxIndustrialPages": 10 } ```` # Actor output Schema ## `results` (type: `string`): Default dataset containing normalized and enriched auction lot records. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("ayrtondavoli97/aste-objects-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [] } # Run the Actor and wait for it to finish run = client.actor("ayrtondavoli97/aste-objects-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [] }' | apify call ayrtondavoli97/aste-objects-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ayrtondavoli97/aste-objects-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Judicial & Industrial Auction Intelligence", "description": "AI-powered Italian judicial & industrial auction intelligence engine. Aggregates and enriches auction lots with opportunity scoring, resale analysis, logistics risk, live bid detection and export-ready datasets for resellers, analysts and liquidation research.", "version": "0.0", "x-build-id": "vPgMWu9zwC1LDe47R" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ayrtondavoli97~aste-objects-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ayrtondavoli97-aste-objects-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ayrtondavoli97~aste-objects-scraper/runs": { "post": { "operationId": "runs-sync-ayrtondavoli97-aste-objects-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ayrtondavoli97~aste-objects-scraper/run-sync": { "post": { "operationId": "run-sync-ayrtondavoli97-aste-objects-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "preset": { "title": "Search preset", "enum": [ "maximum_coverage", "resale_friendly", "electronics", "vehicles", "stock_resale", "custom" ], "type": "string", "description": "Choose a ready-made configuration. Select Custom when you want the fields below to be used exactly as configured.", "default": "maximum_coverage" }, "sources": { "title": "Sources", "type": "array", "description": "Auction platforms to scrape. Use the Maximum coverage preset for the broadest dataset.", "items": { "type": "string", "enum": [ "fallco", "astegiudiziarie", "industrialdiscount", "gobid" ], "enumTitles": [ "Fallco Aste network portals", "AsteGiudiziarie.it public map API", "IndustrialDiscount.it search API", "Gobid.it (best effort; Cloudflare may block)" ] }, "default": [ "fallco", "astegiudiziarie", "industrialdiscount" ] }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional Fallco/Fallco Aste search, category, homepage, or listing URLs. Leave empty for automatic multi-portal, multi-category discovery.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "keywords": { "title": "Keywords", "type": "array", "description": "Optional words to match in title, description, URL, tribunal, location, or procedure.", "default": [], "items": { "type": "string" } }, "category": { "title": "Category", "enum": [ "all", "vehicles", "machinery", "electronics", "furniture", "jewelry", "stock", "nautical", "art", "other" ], "type": "string", "description": "Optional category filter inferred from the lot text.", "default": "all" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of normalized lots to save. High values can increase runtime.", "default": 1000 }, "maxPagesPerCategory": { "title": "Max pages per category", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many paginated Fallco search pages to try for each portal/category discovery URL.", "default": 3 }, "maxDetailPages": { "title": "Max detail pages", "minimum": 0, "maximum": 1000, "type": "integer", "description": "How many Fallco lot detail pages to open for richer prices, descriptions, categories, images, and possible location cues.", "default": 100 }, "agiRegions": { "title": "AsteGiudiziarie regions", "type": "array", "description": "Optional Italian regions to query on AsteGiudiziarie.it. Leave empty for all regions.", "items": { "type": "string", "enum": [ "Abruzzo", "Basilicata", "Calabria", "Campania", "Emilia-Romagna", "Friuli-Venezia Giulia", "Lazio", "Liguria", "Lombardia", "Marche", "Molise", "Piemonte", "Puglia", "Sardegna", "Sicilia", "Toscana", "Trentino-Alto Adige", "Umbria", "Valle d'Aosta", "Veneto" ] }, "default": [] }, "maxAgiRegions": { "title": "Max AsteGiudiziarie regions", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of regions to query on AsteGiudiziarie.it when regions are left empty.", "default": 20 }, "agiRequirePhotos": { "title": "AsteGiudiziarie only with photos", "type": "boolean", "description": "If true, asks AsteGiudiziarie.it for records with photos only. False gives wider coverage.", "default": false }, "maxIndustrialPages": { "title": "Max IndustrialDiscount pages", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many IndustrialDiscount search result pages to fetch from the public search API. Each page can return up to 250 lots.", "default": 10 }, "minPrice": { "title": "Minimum price", "minimum": 0, "type": "integer", "description": "Optional minimum base/current/effective price in EUR." }, "maxPrice": { "title": "Maximum price", "minimum": 0, "type": "integer", "description": "Optional maximum base/current/effective price in EUR." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```